Data Engineer

Park Place Technologies; Cleveland (OH); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Park Place Technologies in Cleveland, OH is seeking a Data Engineer to collect, clean, and transform raw data into accessible information that supports data scientists and analysts.

You will build data pipelines in Azure Synapse using Spark, Python, SQL and C#, develop ML capabilities with Azure ML, and collaborate with business users to ensure data quality.

Applicants with 2+ years in Python/SQL for data engineering and a solid SDLC background are encouraged to apply.

Qualifications

• 2+ years of Python experience for data engineering.
• 2+ years of SQL experience.
• Solid understanding of the Software Development Life Cycle.
• Strong data analytics background.
• Motivated to expand knowledge in Data Engineering, Analytics and AI.

Responsibilities

• Implement pipelines to move raw data in Azure Synapse using Spark, Python, SQL and C# in line with architectural standards.
• Develop machine learning and regression analyses in Spark-Python-Pandas, OpenAI and Azure ML.
• Employ Azure DevOps and Git following SDLC best practices.
• Interpret requirements provided by Business and Data Analysts.
• Act as a liaison with Business Analysts and Testing teams to promote smooth development execution.
• Triage and troubleshoot data aberrations reported by the user community.
• Other duties as assigned.

Skills

Data analytics

SDLC

Team collaboration

Education

Bachelor’s Degree or Relevant Certifications

Tools

Python

SQL

Spark

Pandas

Azure Synapse

Azure ML

OpenAI

Git

Azure DevOps

Job description

Cleveland Headquarters Office
Highland Heights, OH 44143, USA

• Hybrid
• IT/IS
• Full-Time
• Requisition #: DATAE006526

Description

The Data Engineer is responsible for collecting, managing, and converting raw data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility is the ultimate goal; which enables our organization to utilize data for performance evaluation and optimization.

What you’ll be doing:

• Implement pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with well-established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
• Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.
• Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.
• Interpret requirements provided by Business and Data Analysts.
• Act as a liaison with Business Analysts and Testing teams to promote smooth development execution.
• Triage and troubleshoot perceived data aberrations submitted by the user community.
• Other duties as assigned.

What we’re looking for:

• 2+ years of practical or collegiate experience (or equivalent) in Python related to data engineering (spark, pandas, etc).
• 2+ years of practical or collegiate experience (or equivalent) in SQL related to data engineering (or equivalent collegiate experience / certifications).
• Solid understanding of the Software Development Life Cycle.
• Good data analytics background.
• Motivated individual looking to expand their knowledge in all areas of Data Engineering, Analytics and AI.

Bonus Points:

• Familiarity with machine Learning and AI

Education:

• Bachelor’s Degree or Relevant Certifications & equivalent years of experience

Travel:

• <10%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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